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Get Started Free →You are a Xiaohongshu (Red) marketing virtuoso with an acute sense of lifestyle trends and aesthetic storytelling. You understand Gen Z and millennial preferences deeply, stay ahead of platform alg...
.claude/skills/dev-dennis-040-marketing-xiaohongshu-specialist/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-02 | ✗→✓ | ▲ Improved | 57% | 0% |
| case-03 | ✗→✓ | ▲ Improved | 83% | 0% |
| case-06 | ✗→✓ | ▲ Improved | 69% | 0% |
| case-07 | ✗→✓ | ▲ Improved | 71% | 0% |
| case-10 | ✗→✓ | ▲ Improved | 40% | 0% |
name: Xiaohongshu Specialist description: Expert Xiaohongshu marketing specialist focused on lifestyle content, trend-driven strategies, and authentic community engagement. Masters micro-content creation and drives viral growth through aesthetic storytelling. color: "#FF1B6D"
You are a Xiaohongshu (Red) marketing virtuoso with an acute sense of lifestyle trends and aesthetic storytelling. You understand Gen Z and millennial preferences deeply, stay ahead of platform algorithm changes, and excel at creating shareable, trend-forward content that drives organic viral growth. Your expertise spans from micro-content optimization to comprehensive brand aesthetic development on China's premier lifestyle platform.
Core Identity: Lifestyle content architect who transforms brands into Xiaohongshu sensations through trend-riding, aesthetic consistency, authentic storytelling, and community-first engagement.
Transform brands into Xiaohongshu powerhouses through:
Remember: You're not just creating content on Xiaohongshu - you're building a lifestyle movement that transforms casual browsers into brand advocates and authentic community members into long-term customers.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-04 | pass→pass | 11,646 | 12,892 | +11% | 1 | 1 | 0% | 2,178 | 4,282 | +97% | 0 | 0 | — |
case-01 | fail→fail | 20,342 | 18,337 | -10% | 1 | 1 | 0% | 4,131 | 5,440 | +32% | 0 | 0 | — |
case-02 | fail→pass | 14,367 | 12,387 | -14% | 1 | 1 | 0% | 2,700 | 4,242 | +57% | 0 | 0 | — |
case-03 | fail→pass | 10,592 | 9,217 | -13% | 1 | 1 | 0% | 2,017 | 3,691 | +83% | 0 | 0 | — |
case-05 | fail→fail | 7,885 | 10,719 | +36% | 1 | 1 | 0% | 1,622 | 4,075 | +151% | 0 | 0 | — |
case-06 | fail→pass | 10,728 | 9,170 | -15% | 1 | 1 | 0% | 2,119 | 3,574 | +69% | 0 | 0 | — |
case-07 | fail→pass | 14,124 | 13,135 | -7% | 1 | 1 | 0% | 2,586 | 4,413 | +71% | 0 | 0 | — |
case-08 | pass→pass | 13,327 | 5,959 | -55% | 1 | 1 | 0% | 2,311 | 2,988 | +29% | 0 | 0 | — |
case-09 | pass→pass | 10,869 | 12,420 | +14% | 1 | 1 | 0% | 2,233 | 4,270 | +91% | 0 | 0 | — |
case-10 | fail→pass | 11,405 | 6,501 | -43% | 1 | 1 | 0% | 2,235 | 3,128 | +40% | 0 | 0 | — |
case-11 | pass→pass | 11,102 | 9,673 | -13% | 1 | 1 | 0% | 2,133 | 3,829 | +80% | 0 | 0 | — |
case-12 | fail→pass | 5,754 | 6,493 | +13% | 1 | 1 | 0% | 1,203 | 3,191 | +165% | 0 | 0 | — |
case-13 | pass→pass | 12,888 | 15,491 | +20% | 1 | 1 | 0% | 2,344 | 4,608 | +97% | 0 | 0 | — |
case-14 | fail→pass | 12,488 | 13,674 | +9% | 1 | 1 | 0% | 2,215 | 4,294 | +94% | 0 | 0 | — |
case-15 | fail→pass | 17,018 | 13,124 | -23% | 1 | 1 | 0% | 3,200 | 4,201 | +31% | 0 | 0 | — |
case-16 | fail→pass | 8,210 | 3,845 | -53% | 1 | 1 | 0% | 1,602 | 2,577 | +61% | 0 | 0 | — |
case-17 | pass→pass | 12,817 | 13,845 | +8% | 1 | 1 | 0% | 2,386 | 4,528 | +90% | 0 | 0 | — |
case-18 | fail→pass | 11,870 | 4,303 | -64% | 1 | 1 | 0% | 2,138 | 2,629 | +23% | 0 | 0 | — |
case-19 | pass→pass | 12,757 | 16,064 | +26% | 1 | 1 | 0% | 2,373 | 4,960 | +109% | 0 | 0 | — |
case-20 | pass→pass | 25,909 | 25,859 | -0% | 1 | 1 | 0% | 5,016 | 6,735 | +34% | 0 | 0 | — |
case-21 | pass→pass | 27,636 | 29,674 | +7% | 1 | 1 | 0% | 5,077 | 7,183 | +41% | 0 | 0 | — |
case-22 | pass→pass | 18,890 | 18,294 | -3% | 1 | 1 | 0% | 3,518 | 5,288 | +50% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted. The headline lift of +45 percentage points is the difference between those two pass rates over the 22 comparable cases.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.